Demographics details for Selma, OR vs Columbiana, OH
Population Overview
Compare main population characteristics in Selma, OR vs Columbiana, OH.
Data | Selma | Columbiana |
---|---|---|
Population | 892 | 100,511 |
Median Age | 36.6 years | 44.5 years |
Median Income | $42,319 | $55,473 |
Married Families | 54.0% | 40.0% |
Poverty Level | 13% | 10% |
Unemployment Rate | 4.5 | 5.8 |
Population Comparison: Selma vs Columbiana
- The population in Columbiana is higher at 100,511, compared to 892 in Selma.
- The median age in Columbiana is higher at 44.5 years, compared to 36.6 years in Selma.
- Columbiana has a higher median income of $55,473, compared to $42,319 in Selma.
- A higher percentage of married families is found in Selma at 54.0% compared to 40.0% in Columbiana.
- Selma has a higher poverty level at 13% compared to 10% in Columbiana.
- Columbiana has a higher unemployment rate at 5.8% compared to 4.5% in Selma.
Demographics
Demographics Selma vs Columbiana provide insight into the diversity of the communities to compare.
Demographic | Selma | Columbiana |
---|---|---|
Black | Data is updating | 2 |
White | 95 | 93 |
Asian | Data is updating | Data is updating |
Hispanic | 1 | 2 |
Two or More Races | 4 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Selma vs Columbiana
- In Columbiana, the percentage of Black residents is higher at 2% compared to 0% in Selma.
- Selma has a higher percentage of White residents at 95% compared to 93% in Columbiana.
- Both Selma and Columbiana have the same percentage of Asian residents at 0%.
- Columbiana has a higher percentage of Hispanic residents at 2%, compared to 1% in Selma.
- More residents identify as two or more races in Selma at 4% compared to 3% in Columbiana.
- The percentage of American Indian residents is the same in both Selma and Columbiana at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Selma | Columbiana |
---|---|---|
Mental Health Not Good | 18.4% | 18.4% |
Physical Health Not Good | 11.6% | 12.5% |
Depression | 26.9% | 23.8% |
Smoking | 17.0% | 22.5% |
Binge Drinking | 18.4% | 17.6% |
Obesity | 30.7% | 45.3% |
Disability Percentage | 28.0% | 17.0% |
Health Statistics Comparison: Selma vs Columbiana
- Poor mental health levels are equal in both Selma and Columbiana at 18.4%.
- Depression is more prevalent in Selma at 26.9% compared to 23.8% in Columbiana.
- Columbiana has a higher smoking rate at 22.5% compared to 17.0% in Selma.
- Binge drinking is more common in Selma at 18.4% compared to 17.6% in Columbiana.
- Columbiana has higher obesity rates at 45.3% compared to 30.7% in Selma.
- Disability percentages are higher in Selma at 28.0% compared to 17.0% in Columbiana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Selma | Columbiana |
---|---|---|
No Schooling | 1.5% (13) | 1.0% (1,010) |
High School Diploma | 15.9% (142) | 29.8% (29,903) |
Less than High School | 8.3% (74) | 14.3% (14,400) |
Bachelor's Degree and Higher | 1.7% (15) | 12.1% (12,129) |
Education Levels Comparison: Selma vs Columbiana
- A higher percentage of residents in Selma have no formal schooling at 1.5% compared to 1.0% in Columbiana.
- In Columbiana, the rate of residents with high school diplomas is higher at 29.8% compared to 15.9% in Selma.
- The percentage of residents with less than a high school education is higher in Columbiana at 14.3%, compared to 8.3% in Selma.
- In Columbiana, a larger share of residents have a bachelor's degree or higher at 12.1% compared to 1.7% in Selma.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.